Adwiteey Mauriya

- Implemented LangChain for LLM embeddings, enhancing text app semantics. - Developed a financial document-processing chatbot for instant user insights. - Created a feature store for financial models to improve risk assessment. - Engineered a model distinguishing active vs inactive businesses using LinkedIn data. - Deployed a Business Intelligence tool on EKS, now key for strategic decisions. - Skills: Machine Learning, NLP, LLMs, Databricks, Python, Spark, Torch, LangChain.

- Led design of a ML/data pipeline for a bank aggregator, integrating transactions from 50+ banks to calculate runway/burn rates - Established CI/CD for ETL, optimizing code deployment and data management - Managed Amazon EC2, ensuring performance; coded AWS Lambda for serverless computing. - Implemented code review standards, boosting code quality and team collaboration; contributed to backend infrastructure - Tech stacks: Airflow, AWS, Lambda, Step Functions, Python, SQL, Selenium, openAI, LLMs, LangChain

- Managed datasets in GCP, Snowflake, Hadoop; supported customer and enterprise data teams. - Optimized/developed ETL processes, saving over $10M annually. - Built datasets in BigQuery, Hive, Snowflake; led code review for quality data. - Aided in new data engineer onboarding. - Tech stacks: Python, Scala, SQL, Airflow, AWS, GCP, Snowflake, Postgres, Spark, Hive.

- Achieved 80% success in pilot training warehouse automation. - Built multiple reports for the training warehouse automation. - Produced 1.1 times the goal of qualified leads from the workshop. - Developed flight school KPI metrics from raw company data. - Tracked improvements in the gross margin of the company's training department. - Tech stacks: Python, SQL, Tableau, SSRS, Excel, Power BI.

Thesis title: Effect of Impurities in Intrinsic Rotation of Tokamak Plasmas.

Major: Physics , Minor: Mathematics